强激光与粒子束2016，Vol.28Issue(12)：121001-1-121008-8,8.DOI:10.11884/HPLPB201628.160113
基于衬底温度和贝叶斯估计的红外非均匀性校正
Infrared non-uniformity correction based on substrate temperature and Bayesian estimation
摘要
Abstract
The advantages and disadvantages in nonuniformity correction method (NUC)based on calibra-tion and scene of infrared focal plane array (IRFPA)were analyzed respectively.On this basis,a combined non-uniformity correction method was presented.According to the temperature of focal plane substrate at the mo-ment of power on,previously stored gain and bias correction parameters were extracted from the FLASH for the corresponding temperature interval to eliminate the non-uniformity of detector preliminarily.After prelimi-nary correction,a self-adaptive non-uniformity correction algorithm was presented in order to eliminate residual noises.The images after preliminary correction were decomposed by non-subsampled contourlet transform (NSCT),and the Bayesian threshold was used to estimate the signal and noise variance point by point.As a result,the residual non-uniformity noise was figured out and then got rid of.Experimental results show that such an algorithm could improve both the correction accuracy and the environmental adaptability effectively.关键词
红外焦平面阵列/联合非均匀性校正/基底温度/非下采样 Contourlet 变换/贝叶斯阈值Key words
IRFPA/combined nonuniformity correction/substrate temperature/non-subsampled contourlet transform(NSCT)/Bayesian threshold分类
信息技术与安全科学引用本文复制引用
唐艳秋,孙强,赵建,姚凯男..基于衬底温度和贝叶斯估计的红外非均匀性校正[J].强激光与粒子束,2016,28(12):121001-1-121008-8,8.基金项目
Jilin Key Scientific and Technological Project(20140204030GX) （20140204030GX）
Key Science & Technology Brainstorm Project of Chang-chun (14KG011) （14KG011）
